Cover
Vol. 7 No. 1 (2011)

Published: May 31, 2011

Pages: 1-4

Original Article

A Study on Pre-processing Algorithms for Metal Parts Inspection

Haider Sh. Hashim 1 Anton Satria Prabuwono Siti Norul Huda Sheikh Abdullah
1Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor D.E., Malaysia
History
  • Received: March 31, 2011
  • Available Online: May 31, 2011
DOI

https://doi.org/10.37917/ijeee.7.1.1

Abstract

Pre-processing is very useful in a variety of situations since it helps to suppress information that is not related to the exact image processing or analysis task. Mathematical morphology is used for analysis, understanding and image processing. It is an influential method in the geometric morphological analysis and image understanding. It has befallen a new theory in the digital image processing domain. Edges detection and noise reduction are a crucial and very important pre-processing step. The classical edge detection methods and filtering are less accurate in detecting complex edge and filtering various types of noise. This paper proposed some useful mathematic morphological techniques to detect edge and to filter noise in metal parts image. The experimental result showed that the proposed algorithm helps to increase accuracy of metal parts inspection system.

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